Helix CLI
An AI-powered command-line assistant focused on developer workflows, model integrations, and practical automation.
I build software, explore AI, and investigate how systems work—from product interfaces to security boundaries.
A curated catalog of systems engineering, automated security tools, AI assistants, and award-winning civic technology.
An AI-powered command-line assistant focused on developer workflows, model integrations, and practical automation.
A Python voice assistant exploring security-focused workflows, phishing URL detection, network auditing, metadata cleaning, and privacy-oriented tools.
A civic-tech platform designed to improve urban problem reporting and municipality workflows.
A platform concept for scanning product identifiers to access relevant reviews, verification information, and traceability features.
Looking for more research scripts, micro-services, and repositories?
Engineering software at the nexus of full-stack reliability, offensive security principles, and intelligent automation.
“I'm interested in the intersection of software, security, and intelligent systems. I enjoy turning ideas into working products, understanding how technology behaves under the hood, and exploring how systems can be made more useful and secure.”
As a final-year Computer Science student at CHARUSAT, my technical foundation has been shaped by relentless hands-on experimentation. Rather than treating software as abstract layers, I prioritize understanding system boundaries—from network packets and memory footprints to user-facing latency and state synchronization.
Approaching every system by mapping attack surfaces, validating user inputs, and testing defensive assumptions.
Harnessing language models and local runtimes to accelerate developer velocity, not for decorative gimmickry.
A verified chronological record of industry security research, software engineering internships, paid client engagements, and hackathon triumphs.
Conducted security evaluations, vulnerability assessments, and system reconnaissance under senior security researchers.
Developed automated Python scripts, data processing workflows, and backend utilities for structured task automation.
Conducted targeted web application security testing and vulnerability identification on an active commercial website.
Won 2nd Runner Up honors competing among multidisciplinary teams nationwide, designing UrbanMind.
A taxonomy of engineering disciplines, security analysis tools, and modern AI runtime pipelines mastered through active development.
Foundational programming languages used across systems, tooling, and algorithmic workflows.
Scripting, AI tooling, security reconnaissance, automation
Full-stack type safety, Next.js, strict UI architectures
DOM manipulation, asynchronous I/O, node runtime
Data structures, algorithms, backend architecture
Offensive reconnaissance, network inspection, and defensive hardening tooling.
Primary research environment and toolkit
Host scanning, port triage, service fingerprinting
HTTP interception, request tampering, vulnerability analysis
Traffic capture, protocol inspection, anomaly detection
SQL injection discovery and automated verification
Fast brute-forcing of endpoints and vhosts
CVE and public exploit cross-referencing
Modern inference pipelines, local model runtimes, and intelligent automation.
Prompt pipelines, context grounding, streaming output
API integration, analysis workflows, structured JSON mode
Self-hosted LLMs, offline developer assistants
High-throughput microservices for LLMs (GLM)
Multi-provider fallbacks and dynamic token routing
Terminal scripting, developer velocity acceleration
Component systems, performant client architectures, and fluid responsive styling.
State machines, custom hooks, reactive client patterns
SSR, edge caching, server actions, metadata optimization
Utility-first responsive layouts, tokens, fluid scales
Cross-platform iOS and Android client development
REST services, persistence layers, and real-time distributed sync.
Event-driven asynchronous services, CLI execution
Middleware composition, route security, rate limiting
Schemaless records, aggregation pipelines
Normalized schemas, ACID transactions, complex queries
Realtime database, FCM push notifications, auth state
Containerization, automated delivery, and cloud compute environments.
S3, EC2 fundamentals, IAM security policies
Compute Engine, Cloud Run, security command center
Multi-stage builds, isolated runtime environments
Pod lifecycle, deployments, service definitions
Automated test runs, linting gates, automated deployment
Formal certifications, specialized learning paths, and specialized red teaming credentials.
Three strategic domains defining my ongoing research, development commitments, and engineering direction.
Investigating systemic vulnerabilities, auditing application trust boundaries, and building resilient defensive baselines against evolving attack vectors.
Crafting usable, maintainable web architectures and CLI systems that streamline human workflows with minimal latency and high resilience.
Experimenting with high-throughput inference backends, local self-hosted models, and context-grounded AI tools that solve concrete engineering hurdles.